Papers
2
Total Citations
31
H-Index
2
About
Jiahui Xu is a robotics researcher whose work centers on the precise control and localization of advanced robotic systems. Her primary research areas include trajectory tracking control for manipulators and state estimation for mobile robots. Xu’s major contribution is the development of an extended state observer-based dynamic iterative learning control scheme for six-degrees-of-freedom manipulators, a method that significantly enhances trajectory tracking accuracy in complex industrial automation tasks. This work, published in 2023, has already garnered 25 citations, underscoring its relevance to the field. Additionally, Xu has advanced mobile robotics by applying an Extended Kalman Filter (EKF) for positioning a McNamee wheel mobile robot, addressing the unique kinematic challenges posed by this six-state motion system. Her 2022 study on this topic, with 6 citations, demonstrates her ability to tackle non-standard robotic platforms. Xu’s research bridges theoretical control methods with practical applications, making her a notable emerging voice in robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2EKF-based positioning study of a mobile robot with McNamee wheels6 citations · 2022